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An emergent computation approach to the problem of polygon layout with performance constraints

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  • Huang, Zhendong
  • Xiao, Renbin

Abstract

We address the two-dimensional satellite irregular polygons layout problem (TDSIPLP). By mapping the layout problem to a physical system, we present a self-organization emergence algorithm (SEA) based on a multi-agent system (MAS). SEA uses information on the local energy of agents and neighborhood rules to guide interactions between the agents and the environment. System self-organization evolves at a microcosmic level and eventually yields a layout that meets the performance constraints for a satellite. Experiments show that SEA can provide much better performance than other optimization techniques, such as generalized simulated annealing (GSA).

Suggested Citation

  • Huang, Zhendong & Xiao, Renbin, 2013. "An emergent computation approach to the problem of polygon layout with performance constraints," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5074-5088.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:20:p:5074-5088
    DOI: 10.1016/j.physa.2013.05.043
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    References listed on IDEAS

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